01
Knowledge
The live company context behind the task, with sources and gaps.
How it works
Hugin puts the company underneath every AI agent.
Hugin is not another chatbot, search page, or AI agent platform. It sits beneath the AI agents your team already uses and gives them the company knowledge, procedures, and approved actions they need to do real work.
The model
Know. Follow. Act.
AI agents should not need a person to carry company context, rewrite the process, and finish the last step manually every time. Hugin gives them one shared company foundation.
02
Procedures
Reusable skills grounded in the company's own examples, rules, and decisions.
03
Actions
Approved operations inside tools, with permissions, previews, approvals, and activity history.
Setup path
Connect once. Build the brain. Expand from one useful workflow.
01
Connect the tools where work happens
Slack, GitHub, Drive, Linear, HubSpot, Notion, Zendesk, Jira, Salesforce, and the other places where company work already lives.
You decide what Hugin can see.
02
The company brain forms
Hugin keeps the original knowledge intact, then maps people, projects, customers, decisions, documents, systems, and how they connect.
AI agents stop starting from zero.
03
AI agents get the right context
Before a task, an agent asks Hugin what company context it needs. Hugin returns a focused briefing with sources, gaps, and only what the agent is allowed to use.
No more pasting the company into every session.
04
Procedures become skills
Recurring work becomes reusable company-specific skills: how to prep a call, triage a bug, write a customer reply, publish content, or run a postmortem.
Every agent can follow the company's best way of working.
05
Approved actions move work forward
Teams choose which actions each AI agent can take in connected tools, which ones need approval, and what gets recorded.
AI can finish more work without getting loose access.
During a task
The AI agent still feels like the same AI agent. The difference is what sits underneath it.
01
The user gives an AI agent a task.
02
The agent asks Hugin for the company context it needs.
03
Hugin returns a cited briefing scoped to that agent.
04
If the task matches a skill, the agent follows the company procedure.
05
If an approved action is needed, Hugin checks permission and approval before it runs.
Infrastructure option
Hugin can run where your controls need it to run.
Managed SaaS for fast rollout.
Managed private deployment on your infrastructure.
Your own API keys and stricter data boundaries where required.
Start with one workflow.
The first useful setup is usually one AI agent, one important task, and the company tools behind that task. From there, the team can add more sources, more agents, more skills, and more approved actions.
That is how Hugin makes the company AI-native without asking the team to rebuild how work already happens.
Give your AI agents the company underneath the task.
Connect one real workflow and see what changes when the agent has the right knowledge, procedure, and approved action path.